{"id":"https://openalex.org/W4411086574","doi":"https://doi.org/10.1109/tvt.2025.3577365","title":"Power Allocation for Delay Optimization in Device-to-Device Networks: A Graph Reinforcement Learning Approach","display_name":"Power Allocation for Delay Optimization in Device-to-Device Networks: A Graph Reinforcement Learning Approach","publication_year":2025,"publication_date":"2025-06-06","ids":{"openalex":"https://openalex.org/W4411086574","doi":"https://doi.org/10.1109/tvt.2025.3577365"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2025.3577365","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2025.3577365","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Vehicular Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002352625","display_name":"Hao Fang","orcid":"https://orcid.org/0000-0002-5226-3043"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Fang","raw_affiliation_strings":["National Mobile Communications Research Laboratory, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-5226-3043","affiliations":[{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116325664","display_name":"Kai Huang","orcid":"https://orcid.org/0009-0000-0293-7153"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Huang","raw_affiliation_strings":["National Mobile Communications Research Laboratory, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0009-0000-0293-7153","affiliations":[{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100427161","display_name":"Hao Ye","orcid":"https://orcid.org/0000-0003-1544-1768"},"institutions":[{"id":"https://openalex.org/I185103710","display_name":"University of California, Santa Cruz","ror":"https://ror.org/03s65by71","country_code":"US","type":"education","lineage":["https://openalex.org/I185103710"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hao Ye","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of California, Santa Cruz, CA, USA"],"raw_orcid":"https://orcid.org/0000-0003-1544-1768","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California, Santa Cruz, CA, USA","institution_ids":["https://openalex.org/I185103710"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035101808","display_name":"Chongtao Guo","orcid":"https://orcid.org/0000-0002-0701-9615"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chongtao Guo","raw_affiliation_strings":["Guangdong Key Laboratory of Intelligent Information Processing, College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-0701-9615","affiliations":[{"raw_affiliation_string":"Guangdong Key Laboratory of Intelligent Information Processing, College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066151952","display_name":"Le Liang","orcid":"https://orcid.org/0000-0002-8489-1933"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Le Liang","raw_affiliation_strings":["National Mobile Communications Research Laboratory, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-8489-1933","affiliations":[{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100375264","display_name":"Xiao Li","orcid":"https://orcid.org/0000-0001-9660-9053"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Li","raw_affiliation_strings":["National Mobile Communications Research Laboratory, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-9660-9053","affiliations":[{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013079905","display_name":"Shi Jin","orcid":"https://orcid.org/0000-0003-0271-6021"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shi Jin","raw_affiliation_strings":["National Mobile Communications Research Laboratory, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-0271-6021","affiliations":[{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8446,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.71063282,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"74","issue":"11","first_page":"17396","last_page":"17412"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13052","display_name":"Molecular Communication and Nanonetworks","score":0.9284999966621399,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13052","display_name":"Molecular Communication and Nanonetworks","score":0.9284999966621399,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.663325309753418},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.536091148853302},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.48115599155426025},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4236096143722534},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.35764116048812866},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.228389173746109},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.20660611987113953},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1834735870361328}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.663325309753418},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.536091148853302},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.48115599155426025},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4236096143722534},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.35764116048812866},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.228389173746109},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.20660611987113953},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1834735870361328},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tvt.2025.3577365","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2025.3577365","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Vehicular Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1003364742","display_name":null,"funder_award_id":"62261160576","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4587587094","display_name":null,"funder_award_id":"62201145","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4620114756","display_name":null,"funder_award_id":"2024TBZZJH003","funder_id":"https://openalex.org/F4320325571","funder_display_name":"Shenzhen University"},{"id":"https://openalex.org/G7228364754","display_name":null,"funder_award_id":"2025A1515011948","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320325571","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70"},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1498436455","https://openalex.org/W1970830346","https://openalex.org/W1982698541","https://openalex.org/W1994543072","https://openalex.org/W2064675550","https://openalex.org/W2103723095","https://openalex.org/W2134686390","https://openalex.org/W2187603890","https://openalex.org/W2343448572","https://openalex.org/W2546571074","https://openalex.org/W2607844539","https://openalex.org/W2747275881","https://openalex.org/W2784277076","https://openalex.org/W2913304731","https://openalex.org/W2943802911","https://openalex.org/W2947611290","https://openalex.org/W2951146380","https://openalex.org/W2951360122","https://openalex.org/W2963000651","https://openalex.org/W2964008556","https://openalex.org/W2968764495","https://openalex.org/W2971598376","https://openalex.org/W2997997679","https://openalex.org/W3111499798","https://openalex.org/W3152893301","https://openalex.org/W3180838358","https://openalex.org/W3209940515","https://openalex.org/W3210664956","https://openalex.org/W3213116167","https://openalex.org/W4221150253","https://openalex.org/W4284879956","https://openalex.org/W4322576964","https://openalex.org/W4324116596","https://openalex.org/W4366149113","https://openalex.org/W4383751223","https://openalex.org/W4385245566","https://openalex.org/W4385338492","https://openalex.org/W4386473229","https://openalex.org/W4386608891","https://openalex.org/W4392716993","https://openalex.org/W4400579183","https://openalex.org/W4401634028","https://openalex.org/W4403182128"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4306904969","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2138720691","https://openalex.org/W2376932109"],"abstract_inverted_index":{"The":[0,43,93],"pursuit":[1],"of":[2,61,67,73,121,136,147],"rate":[3],"maximization":[4],"in":[5,39,113],"wireless":[6],"communication":[7,115],"frequently":[8],"encounters":[9],"substantial":[10],"challenges":[11,20],"associated":[12],"with":[13],"user":[14,185],"fairness.":[15],"This":[16,140],"paper":[17],"addresses":[18],"these":[19],"by":[21,164],"exploring":[22],"a":[23,79,84,158],"novel":[24],"power":[25,169],"allocation":[26,170],"approach":[27,45],"for":[28,143],"delay":[29,182],"optimization,":[30],"utilizing":[31],"graph":[32],"neural":[33],"networks":[34,135],"(GNNs)-based":[35],"reinforcement":[36],"learning":[37],"(RL)":[38],"device-to-device":[40],"(D2D)":[41],"communication.":[42],"proposed":[44,123,177],"incorporates":[46],"not":[47],"only":[48],"channel":[49],"state":[50,75,91,152],"information":[51,112,153],"but":[52],"also":[53],"factors":[54],"such":[55],"as":[56,97,157],"packet":[57],"delay,":[58],"the":[59,65,71,74,90,102,114,119,122,131,137,151,165,176],"number":[60,66],"backlogged":[62],"packets,":[63],"and":[64,88,117,133,149,190,193],"transmitted":[68],"packets":[69],"into":[70,129],"components":[72],"information.":[76,92],"We":[77],"adopt":[78],"centralized":[80],"RL":[81],"method,":[82,124],"where":[83],"central":[85,94],"controller":[86,95],"collects":[87],"processes":[89],"functions":[96],"an":[98],"agent":[99,166],"trained":[100],"using":[101],"proximal":[103],"policy":[104],"optimization":[105],"(PPO)":[106],"algorithm.":[107,139],"To":[108],"better":[109],"utilize":[110],"topology":[111],"network":[116],"enhance":[118],"generalization":[120,194],"we":[125],"embed":[126],"GNN":[127],"layers":[128],"both":[130],"actor":[132],"critic":[134],"PPO":[138],"integration":[141],"allows":[142],"efficient":[144],"parameter":[145],"updates":[146],"GNNs":[148],"enables":[150],"to":[154,167],"be":[155],"parameterized":[156],"low-dimensional":[159],"embedding,":[160],"which":[161],"is":[162],"leveraged":[163],"optimize":[168],"strategies.":[171],"Simulation":[172],"results":[173],"demonstrate":[174],"that":[175],"method":[178],"effectively":[179],"reduces":[180],"average":[181],"while":[183],"ensuring":[184],"fairness,":[186],"outperforms":[187],"baseline":[188],"methods,":[189],"exhibits":[191],"scalability":[192],"capability.":[195]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-23T05:10:03.516525","created_date":"2025-10-10T00:00:00"}